Mathematical modeling and intelligent optimization of submerged arc welding process parameters using hybrid PSO-GA evolutionary algorithms (vol 12, pg 861, 2020)

Choudhary Ankush; Kumar Manoj; Gupta Munish Kumar; Unune Deepak Rajendra; Mia Mozammel

首页> 外文期刊>Neural computing & applications >Mathematical modeling and intelligent optimization of submerged arc welding process parameters using hybrid PSO-GA evolutionary algorithms (vol 12, pg 861, 2020)

【24h】

Mathematical modeling and intelligent optimization of submerged arc welding process parameters using hybrid PSO-GA evolutionary algorithms (vol 12, pg 861, 2020)

机译：混合PSO-GA进化算法淹没电弧焊接工艺参数的数学建模与智能优化（Vol 12，PG 861,2020）

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

页面导航

摘要
著录项
相似文献
相关主题

摘要

In the original publication, the fourth author name was incorrectly published.

机译：在原始出版物中，第四个作者名称被错误发布。

著录项

来源
《Neural computing & applications》 |2020年第15期|共1页
作者
Choudhary Ankush; Kumar Manoj; Gupta Munish Kumar; Unune Deepak Rajendra; Mia Mozammel;
展开▼
作者单位

LNM Inst Informat Technol Mech Mechatron Engn Jaipur Rajasthan India;

LNM Inst Informat Technol Mech Mechatron Engn Jaipur Rajasthan India;

Shandong Univ Key Lab High Efficiency &

Clean Mech Manufacture Jingshi Rd Jinan Peoples R China;

LNM Inst Informat Technol Mech Mechatron Engn Jaipur Rajasthan India;

Ahsanullah Univ Sci &

Technol Mech &

Prod Engn Dhaka Bangladesh;

展开▼
收录信息
原文格式 PDF
正文语种 eng
中图分类人工神经网络计算机;人工智能理论;
关键词

相似文献

外文文献
中文文献
专利

1. Mathematical modeling and intelligent optimization of submerged arc welding process parameters using hybrid PSO-GA evolutionary algorithms (vol 12, pg 861, 2020) [J] . Choudhary Ankush, Kumar Manoj, Gupta Munish Kumar, Neural computing & applications . 2020,第15期

机译：混合PSO-GA进化算法淹没电弧焊接工艺参数的数学建模与智能优化（Vol 12，PG 861,2020）
2. A novel hybrid intelligent optimization model for twin wire tandem co-pool high-speed submerged arc welding of steel plate [J] . Kuanfang HE, Dongming XIAO Journal of Advanced Mechanical Design, Systems, and Manufacturing . 2015,第2期

机译：钢板双丝串联共池高速埋弧焊的新型混合智能优化模型
3. An approach for solving multi characteristics optimization of submerged arc welding process parameters by using grey based genetic algorithm [J] . Joydeep roy, Arindam majumder, J. D. Barma, Journal of Scientific & Industrial Research . 2013,第6期

机译：基于灰色遗传算法的埋弧焊工艺参数多特征优化求解方法
4. Timed Petri-Net(TPN) Based Scheduling Holon and Its Solution with a Hybrid PSO-GA Based Evolutionary Algorithm(HPGA) [C] . Fuqing Zhao, Yahong Yang, Qiuyu Zhang, Pacific Rim International Conference on Artificial Intelligence(PRICAI 2006); 20060807-11; Guilin(CN) . 2006

机译：基于定时Petri-Net（TPN）的调度Holon及其基于混合PSO-GA的进化算法（HPGA）的解决方案
5. Model analysis and predictive control of double electrode submerged arc welding process for fillet joints with root opening. [D] . Lu, Yi. 2014

机译：带有根部开口的角焊缝双电极埋弧焊工艺的模型分析和预测控制。
6. Intelligent Optimization of Hard-Turning Parameters Using Evolutionary Algorithms for Smart Manufacturing [O] . Mozammel Mia, Grzegorz Królczyk, Radosław Maruda, 2019

机译：基于进化算法的硬制造智能优化智能制造
7. Correction to: Mathematical modeling and intelligent optimization of submerged arc welding process parameters using hybrid PSO-GA evolutionary algorithms [O] . Ankush Choudhary, Manoj Kumar, Munish Kumar Gupta, 2019

机译：校正：使用混合PSO-GA进化算法的淹没电弧焊接工艺参数的数学建模与智能优化

Mathematical modeling and intelligent optimization of submerged arc welding process parameters using hybrid PSO-GA evolutionary algorithms (vol 12, pg 861, 2020)

摘要

著录项

相似文献

相关主题

期刊订阅